Hi sorry for the really slow reply! No i havent been able to find a solution to this problem, however for the purpose of my paper i think its enought that i write that there has been issues with this classifcaiton. Thanks and good luck, let me know if you find a solution
On this topic, the “polarimetric parameters” method has these wonderful indices:
[] Pedestal Height
[] Radar vegetation Index
[] Canopy structure index
[] Volume scattering index
[] Biomass Index
[] Co-pol HH/VV Ratio
But they are only available to quad pol, so practically useless to S1.
I would be very interested to know if anyone has found duel pol solutions to creating any of these indices
technically, you can derive entropy and alpha, yes. But the results are not very useful, especially for cross polarization. It just doesn’t give all the information needed for polarimetry:
Thus, HH-VV SAR is a suitable alternative to full-polarization SAR in certain cases. Meanwhile, the extraction performance of the other two dual-polarization SARs is badly degraded due to the lack of co-polarization. Therefore, HH-HV and HV-VV SARs cannot effectively extract the scattering mechanisms in the H-α plane.
As you can see, HH-VV works quite fine, but the identification of
Z3 = low entropy multiple (dark red)
Z4 = mdium entropy surface (cyan)
Z5 = medium entropy dipole (blue)
Z8 = High entropy dipole (green)
just goes miserably wrong in cross-polarized (HV or VH) modes. You just have to consider that polarimetry needs the information of all four polarizations in order to correctly decompose the different scattering mechanisms within the matrix.
All the parameters you name are found on an empirical base. You can search for dual-pol publications specifically which try to find a way around but as for entropy/alpha decomposition on cross-pol data you have to be careful.
Thanks @ABraun, my original aim for this, if only roughly, was a classifier using radar that makes use of all the information available in the SLC product.
alright, if you have Sentinel-1 you can calculate the ratio and the dual-pol decomposition in the polarimetry menu. This will give you at least some bands to perform a classification on, that’s true.
I got a different result from yours.I used polsarpro and snap to do H/α decomposition for the same data(sentinel-1 VV VH),and got the nearly same result. A is alpha in figure 1
Hello,my results of H/α decomposition in polsarpro and snap are different(just like tim’s).The alpha-image is inverse.So what’s your procesing steps in polsarpro?
I use the SNAP 6.0.
And i am sorry that i do not know how to plot h-alpha plane in porsarpro.But i did the h-alpha decomposition in snap and polsarpro,and put the two results into the envi.It is clearly that the values of H are similar,but the values of alpha are opposite.
yes,i saw this.
So if i use the same sentinel-1A data, do h-alpha dualpol decomposition in snap and polsarpro respectively,and the results are opposite like this:
snap:
polsarpro:
You think this result in polsarpro might be more reliable?